For 5.1 I thought the answer was B

and 5.2 I thought the answer was D

5.1. H1 in a chi-square test states:

a) The distribution of scores in two samples does not come from the same population

b) The distribution of frequencies in two samples does not come from the same

population

c) The order of scores in two samples does not occur randomly

d) The variance in true scores is larger than the variance in error scores

e) The difference between scores in two samples is due to the independent variable

5.2. A variance estimate is defined as:

a) The mean square of the true variation in scores divided by the mean square of the

error variation in scores

b) The difference between a particular score and the mean of the sample of scores from

which it is drawn, divided by the standard deviation

c) The standard deviation divided by the square root of the sample size

d) The sum of the squared deviation of the means, divided by the degrees of freedom

e) The average deviation of sample means from the mean of sample means